deepsense.ai

Deepsense.ai was hired by a U.S.-based startup specializing in transforming unstructured enterprise data into formats suitable for large language models. The project involved staff augmentation, AI consulting and development. The goal was to execute the product roadmap timely and support the client's R&D with machine learning expertise. A team of 11 professionals from deepsense.ai worked on creating multiple integrations into model host providers and other cloud vendors like Pinecone. The client found deepsense.ai through a referral and chose them for their expertise.

In another project, deepsense.ai was contracted by a global food company to develop custom software. The main objectives included transferring knowledge to the organization, building in-house capabilities, and creating a scalable Marketing Mix Modeling (MMM) system. A team of 6-10 employees from deepsense.ai designed, piloted, and enabled the MMM capability within the client's commercial organization, providing an end-to-end MMM model for the pilot brand, executive-level recommendations based on data-driven ROI analysis, and a blueprint for scalable MMM deployment. The client found deepsense.ai through an online search and chose them for their high ratings and proximity.

For a computer software company that provides rapid eye-tracking analysis, deepsense.ai developed an AI model for webcam-based eye-tracking for a scientific grant from PARP. The scope of their work included preparing the model architecture, training prototype, and optimizing the model for live eye gaze prediction. A team of 3-4 specialists from deepsense.ai worked on this project. The client found deepsense.ai through a referral and chose them for their expertise. The engagement started in January 2024 and is ongoing.